đề thi văn nguyễn tất thành

... + + + = ë (0,25điểm) WWW.VNMATH.COM ( ) ( ) 97 lim , 3 3 t f t f đ+Ơ = +Ơ = Bngbinthiờn Davobngbinthiờn,tac [ ) ( ) 3 97 min min 3 A f t +Ơ = = ,khi 1a b c = = = (0,25điểm) WWW.VNMATH.COM ...

... www.DeThiThuDaiHoc.com www.DeThiThuDaiHoc.com Download ebook, tài liệu, đề thi, bài giảng tại : http://diendan.shpt.info Trang 1/7 - Mã đề thi 061 TRƯỜNG THPT CHUYÊN NGUYỄN TẤT THÀNH (Đề ... A. 7 B. 6 C. 8 D. 9 www.DeThiThuDaiHoc.com www.DeThiThuDaiHoc.com Download ebook, tài liệu, đề thi, bài giảng tại : http://diendan.shpt.info Trang 2/7 - Mã đề thi 061 Câu 10: Cho các chất ... www.DeThiThuDaiHoc.com www.DeThiThuDaiHoc.com Download ebook, tài liệu, đề thi, bài giảng tại : http://diendan.shpt.info Trang 4/7 - Mã đề thi 061 A. 40 B. 30 C. 80 D....

... Đề thi vào lớp 10 chuyên Toán Nguyễn Tất Thành, tỉnh Yên Bái năm học 2013 - 2014. Câu 1. (1,5 điểm) Cho biểu thức ... thức x 1 − 2x 2 = 1 b) Xác định các giá trị của m để phương trình (1) có hai nghiệm phân biệt đều lớn hơn −2. Câu 3. (3,5 điểm) Cho nửa đường tròn (O;R) đường kính AB, lấy M là điểm tùy ý thuộc...

... TRƯỜNG THPT CHUYÊN NGUYÊN TẤT THÀNH TỔ: TOÁN ĐỀ THI THỬ CAO ĐẲNG NĂM 2013 Môn thi: TOÁN – Khối A Thời gian làm bài: 180 phút, không kể thời gian giao đề ĐỀ SỐ 4: Câu I (2,5 điểm). ... ĐÁP ÁN VÀ BIỂU ĐIỂM ĐỀ SỐ 4 Câu Nội dung Điểm I (2,5điể m) 1.(1,5 điểm) Hàm số (C 1 ) có dạng 3 2 3 4 y x x     Tập xác định: D R   Sự biến thi n - lim , lim x x y ... thi n - lim , lim x x y y       - Chiều biến thi n: 2 0 ' 3 6 0 2 x y x x x          0.25 Bảng biến thi n X  0 2  y’ + 0 - 0 + Y 4   ...

... THPT CHUYÊN NGUYÊN TẤT THÀNH ĐỀ THI THỬ ĐẠI HỌC NĂM 2013. TỔ TOÁN Môn thi: TOÁN – Khối D Thời gian làm bài: 150 phút, không kể thời gian giao đề ĐỀ SỐ 6 I. PHẦN CHUNG CHO TẤT CẢ THÍ SINH ... Giáo viên coi thi không giải thích gì thêm. Họ và tên thí sinh……………………….; Số báo danh…………………… TRƯỜNG THPT CHUYÊN NGUYÊN TẤT THÀNH ĐÁP ÁN ĐỀ THI THỬ ĐẠI HỌC NĂM 2013 TỔ TOÁN ĐỀ SỐ 6 Câu ... (với m là tham số) 1. Khảo sát sự biến thi n và vẽ đồ thị của hàm số khi m = -1. 2. Tìm tất cả các giá trị của m để đồ thị hàm số có ba điểm cực trị tạo thành một tam giác cân sao cho độ dài...

... TRƯỜNG THPT CHUYÊN NGUYÊN TẤT THÀNH (Đề có 01 trang) ĐỀ THI THỬ ĐẠI HỌC LẦN THỨ 2 NĂM 2014 Môn: TOÁN Thời gian làm bài: 180 phút, không kể giao đề. I. PHẦN CHUNG CHO TẤT CẢ THÍ SINH (7 điểm) ... 2 y x 1    . (1) a) Khảo sát sự biến thi n và vẽ đồ thị hàm số (1). b) Tìm m để đường thẳng d: y = -x + m cắt đồ thị hàm số (1) tại 2 điểm A, B tạo thành tam giác OAB thỏa mãn 1 11  OB OA ... 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